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Location Singapore About the Role We are looking for a Full Stack Engineer – Generative AI & Agentic AI to design, develop, and deliver modern enterprise applications while leveraging Generative AI and Agentic AI…
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Design and deploy AI-powered applications, agents, and automation solutions on Azure to improve efficiency and customer experiences in carbon management.
Senior backend engineer building scalable .NET microservices with Kafka, RabbitMQ, and Redis, focusing on DDD, Clean Architecture, and AI integrations (LLMs, RAG) while ensuring observability with Datadog.
Build and maintain a Python/PySpark-based data pipeline engine on AWS and Azure, automate CI/CD with GitHub Actions, and develop AI agents for configuration and troubleshooting in a global healthcare biopharma company.
Build and deploy AI agents and automation to enforce data governance, privacy, and compliance in a healthcare biopharma company, integrating with enterprise systems and ensuring responsible AI practices.
Develops and deploys advanced AI/NLP models (LLMs, RAG, agentic architectures) to detect financial crimes like money laundering or insider trading, while mentoring junior data scientists and collaborating with compliance teams.
Builds ML, graph, NLP, and GenAI models to detect threats, prioritize risks, and enrich cybersecurity operations using Python, SQL, PySpark, and Databricks.
Build and deploy scalable AI/LLM solutions for Johnson Controls, focusing on generative AI, retrieval-augmented generation, and cloud-based ML pipelines to drive digital transformation.
Build and deploy enterprise-grade AI applications using .NET/C# and Microsoft Azure, integrating LLMs, RAG, and agentic workflows into production systems.
Lead enterprise GenAI strategy, architect scalable AI systems, and advise C-suite on tech stacks, trade-offs, and ROI for large client engagements.
Designs and builds enterprise-grade Agentic AI and automation solutions using LLMs, CrewAI, and UiPath to automate workflows across Pearson’s education products.
Required Skills 10 years of experience in software architecture, AI/ML, or enterprise application development . 3 years of hands-on experience with Generative AI / LLM technologies . Strong understanding of LLMs,…
Build AI-powered full-stack apps with .NET Core and React, using AI tools to analyze requirements, generate code, and deliver production features like conversational assistants and RAG systems.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Senior engineer designing and building production AI solutions on Azure AI Foundry, including agents, RAG, orchestration, and enterprise integrations with Power Platform and Dynamics 365.
Principal AI engineer building secure, scalable agentic systems and LLM workflows in a SaaS platform, from prototypes to production, while shaping enterprise-grade AI engineering practices.
Build and scale AI systems using autonomous agents and bots, integrating them with cloud APIs and internal tools while ensuring security and observability.
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